Abstract
Mitochondrion is a multi-functional organelle, which is associated with various signaling pathway networks, including energy metabolism, oxidative stress, cell apoptosis, cell cycles, autophagy, and immunity process. Mitochondrial proteins have been discovered to modulate these signaling pathway networks, and multiple biological behaviors to adapt to various internal environments or signaling events of human pathogenesis. Accordingly, mitochondrial dysfunction that alters the bioenergetic and biosynthetic state might contribute to multiple diseases, including cell transformation and tumor. Multiomics studies have revealed that mitochondrial dysfunction, oxidative stress, and cell cycle dysregulation signaling pathways operate in human pituitary adenomas, which suggest mitochondria play critical roles in pituitary adenomas. Some drugs targeting mitochondria are found as a therapeutic strategy for pituitary adenomas, including melatonin, melatonin inhibitors, temozolomide, pyrimethamine, 18 beta-glycyrrhetinic acid, gossypol acetate, Yougui pill, T-2 toxin, grifolic acid, cyclosporine A, dopamine agonists, and paeoniflorin. This article reviews the latest experimental evidence and potential biological roles of mitochondrial dysfunction and mitochondrial dynamics in pituitary adenoma progression, potential molecular mechanisms between mitochondria and pituitary adenoma progression, and current status and perspectives of mitochondria-based biomarkers and targeted drugs for effective management of pituitary adenomas.
Keywords: mitochondrial dysfunction, mitochondrial dynamics, pituitary adenomas, omics, systems biology
Introduction
Pituitary adenomas are intracranial tumors that develop in the pituitary gland, and account for 10 to 25% of all intracranial neoplasms. Most pituitary adenomas are benign, nearly 35% sufferers present invasiveness and just 0.1–0.2% are diagnosed as carcinomas (1). Pituitary adenomas are commonly divided into functional pituitary adenomas, and non-functional pituitary adenomas according to the clinical level of hormone secretion (2). Functional pituitary adenomas are hormone-secreting pituitary adenomas that could cause hyperpituitarism, such as Cushing's syndrome, acromegaly, and hyperprolactinaemia; and non-functional pituitary adenomas are non-hormone-secreting pituitary adenomas (3). Pituitary adenomas are also divided into microadenomas (<10 mm) and macroadenomas (≥10 mm) according to tumor size (4). The clinically chief complaints of pituitary adenomas are visual field defects, headache, and increased intracranial pressure, which are usually derived from a compression of the neighboring tissues and structures. Another type of clinical problem is an inappropriate hormone secretion in hormone-secreting pituitary adenomas (5).
Currently, high-throughput omic technologies have been extensively used to study pituitary adenomas (6) from a multi-parameter systematic biology angle to overcome the irrationality that use a single molecule as biomarker for accurate predictive, preventive, and personalized medicine (PPPM) practice, because numerous molecules alter at the different levels of DNAs (genome), RNAs (transcriptome), proteins (proteome), and metabolites (metabolome), and are involved in different pathway network systems for tumorigenesis (7). Among the field of multiomics, transcriptomics, and proteomics are two important ways to systematically study the functions of genes (8, 9). Thousands of differentially expressed genes have been identified in human pituitary adenomas (10–12), which have addressed at a certain degree the functions of genes. However, transcriptiomics study cannot fully reveal the functions of genes, because proteins are the final performer of the corresponding genes, there are lots of regulations and modifications occurred in the process from mRNA to proteins. The number of proteins is much more than the number of transcripts, and the correlation coefficient only reaches 0.4 between proteomics and transcriptomics (13, 14). Therefore, proteomics is a more important way to address the functions of genes, especially subcellular proteomics such as mitochondrial proteomics is an effective method to reveal the specialized functions of a organelle to associate with a given diseases such as cancer (15). Currently mitochondrial proteomics has become a research hotpot because mitochondria are ubiquitously subcellular organelles responsible for providing energy to eukaryotic cells, and are the key links of metabolism, oxidative stress, cell apoptosis, cell cycles, autophagy, and immunity process (16), which are involved in a wide range of diseases including cancers (17). This review article will mainly focus on the mitochondrial dysfunction pathway alterations in pituitary adenomas from a systematic viewpoint.
Pituitary adenoma proteomics-based molecular network study have revealed that mitochondrial dysfunction, oxidative stress, cell cycle dysregulation, and MAPK signaling abnormality are significantly associated with the pathogenesis of pituitary adenomas (18–21). Mitochondria are actually center of oxidative stress, which clearly demonstrate that mitochondrial dysfunction pathway plays important roles in pituitary adenomas. Furthermore, electron microscopy morphology study demonstrates that mitochondria are abundantly filled in cytoplasm of pituitary oncocytoma cells (22–24). Some studies demonstrate that the volume of mitochondria is different among different subtypes in pituitary adenomas; for example, the volume of mitochondria of prolactinoma is larger than acromegaly (25). More important are that some drugs targeting mitochondria have been reported as a therapeutic strategy for pituitary adenomas (Table 1) (26–39), including melatonin, melatonin inhibits, temozolomide and pyrimethamine, 18 beta-glycyrrhetinic acid, gossypol acetate, Yougui pill, T-2 toxin, grifolic acid, and paeoniflorin. Those evidences clearly demonstrate the important roles of mitochondrial biological functions and dynamic shift in pituitary adenoma pathogenesis, however, their molecular mechanisms remain unclear yet (2, 40). Mitochondria-based study might provide new insights into molecular mechanisms of pituitary adenomas, discover new biomarkers and molecular targets for effective management of pituitary adenomas. This review article discusses observations in the context of how mitochondrial dysfunction can influence the biological status in pituitary adenoma, including energy metabolism, oxidative stress, cell apoptosis, autophagy, and immunity (Figure 1; Table 2).
Table 1.
References | Drug | Testing index | Mechanisms | Species |
---|---|---|---|---|
Yang et al. (26) | Melatonin | Caspase-3 activity, Bax mRNA expression, cytochrome c protein expression, Bcl-2 mRNA expression, and mitochondrial membrane potential. | Inhibits cell growth and increases cell apoptosis | Rat |
Wang et al. (27) | Melatonin inhibitor | The activities of mitochondrial respiratory complexes, and the production of ATP. | Induces apoptosis | Rat |
Dai et al. (28) | Temozolomide and pyrimethamine | Cell cycle arrest, DNA damage, cytochrome c release from mitochondria into cytosol, the expression of cathepsin B and Bax, decreased expressions of Bcl-2, MMP-2 and MMP-9, cleaved PARP, and phosphorylated histone H2AX as well as caspase3/7, 8, and 9 activities. | Inhibit proliferation, invasion and induce apoptosis of pituitary adenoma cell lines | Rat/mouse |
Wang et al. (29) | 18beta-glycyrrhetinic acid | Cell damage, cell viability, lactate dehydrogenase release, reactive oxygen species (ROS) and Ca(2+) concentration, G0/G1 phase arrest, apoptosis rate, mitochondrial membrane potential, a ratio of B cell lymphoma 2 (Bcl-2) and Bax, calcium/calmodulin-dependent protein kinase II (CaMKII), c-Jun N-terminal kinase (JNK), and P38. | Inhibits proliferation, and induces apoptosis | Rat |
Tang et al. (30) | Gossypol acetate | Expressions of Bcl-2 and miR-15a. | Inhibits cell growth | Rat |
Ji and Geng (31) | Yougui pill | The number of apoptotic cells, mRNA expressions of cytochrome c, caspase-3, caspase-9, and Bcl-2. | Mitochondria-mediated apoptosis pathway | Rat |
Zhou et al. (32) | T-2 toxin | Intracellular NO and antioxidant enzyme activity, DeltaPsim, morphometric changes of mitochondria, the caspase pathway, and inflammatory factors. | Induces cell apoptosis | Rat |
Zhao et al. (33) | Grifolic acid | Cellular ATP levels and the intracellular NAD/NADH ratio. | Induces cell death | Rat |
Zhang et al. (34) | T-2 toxin | Reactive oxygen species (ROS), mitochondrial membrane potential, percentage of apoptotic cells, expression of p53, the activation of caspase-3, G1 cell population, mRNA and protein expressions of p16 and p21, cyclin D1, CDK4. | Induces cell apoptosis | Rat |
Wei et al. (35) | Paeoniflorin | Protein expressions of cleave caspase-9, caspase-3, Bax, and Bcl-2, and phosphorylated p53. | Inhibits cell proliferation, and induces cell apoptosis | Rat |
Deyu et al. (36) | T-2 toxin | Reactive oxygen species (ROS), DNA damage, the mitochondrial membrane potential, the superoxide dismutase (SOD) activity, expressions of glutathione peroxidase 1 (GPx-1), catalase (CAT), mitochondria-specific SOD-2, mitochondrial uncoupling protein-1, -2, and -3 (UCP-1, 2, and 3), adenosine triphosphate (ATP) levels, mitochondrial complex I activity, and the expressions of most of mitochondrial electron transport chain subunits, the expressions of mitophagy-specific proteins NIP-like protein X (NIX), PTEN-induced putative kinase protein 1 (PINK1), and E3 ubiquitin ligase Parkin. | Causes cell apoptosis | Rat |
Kim et al. (37) | Cyclosporine A (CsA) | CsA induced a dose-dependent increase in expression of the autophagy markers LC3-I and LC3-II. Cell viability decreased significantly with increasing CsA concentrations largely due to an increase in apoptosis, with the changing level of Bcl-2 and Bax. | Induction of apoptotic or autophagic cell death i | Rat |
Leng et al. (38) | Dopamine agonists | Dopamine receptor D5 activation increased production of reactive oxygen species (ROS), inhibited the MTOR pathway, induced macroautophagy/autophagy, and led to autophagic cell death (ACD) in vitro and in vivo. | Induced macroautophagy/autophagy | Human pituitary tumor cell |
Wang et al. (39) | Bromocriptine (BRC) and artesunate (ART) | Low-dose ART combined with BRC synergistically inhibited the growth of GH3 and MMQ cell lines, caused cell death, attenuated cell migration and invasion, and suppressed the expression of extracellular prolactin. The induction of apoptosis after co-treatment was confirmed by immunofluorescent staining, assessment of caspase-3 protein expression, and flow cytometry. | Induction of apoptosis | Rat |
Table 2.
References | Biological process | The related molecules | Function mechanism | Species |
---|---|---|---|---|
An et al. (41) | Energy metabolism | Lactate dehydrogenase A (LDHA) | LDHA suppresses glucose uptake, lactate secretion, invasion and proliferation. | GH3 cells |
Casar-Borota et al. (42) | Energy metabolism | Isocitrate dehydrogenase (IDH) 1 and 2 | Mutant IDH1 and IDH2. | Human tissue specimen |
Hao et al. (43) | Energy metabolism | Isocitrate dehydrogenase 1 (IDH1) | Somatic IDH1 mutation. | Human tissue specimen |
Porcelli et al. (44) | Energy metabolism | Hypoxia inducible factor 1 subunit alpha(HIF1A) | A high frequency of homoplasmic disruptive mutations implicates disassembly of respiratory complex I in vivo which in turn contributes to the inability of oncocytic tumors to stabilize HIF1alpha. | Human tissue specimen and cell |
Xekouki and Stratakis (45) | Energy metabolism | Succinate dehydrogenase (SDHx) | Loss of heterozygosity at the SDHD locus. | Human tissue specimen |
Xekouki et al. (46) | Energy metabolism | Succinate dehydrogenase (SDH) | SDHD mutation. | Human tissue specimen and rats |
Wu et al. (47) | Energy metabolism | Hsa-mir-181a-5p | Prolactin signaling pathway, and mitochondria related calcium reabsorption. | Human tissue specimen |
Feng et al. (48) | Energy metabolism | 14-3-3η protein | 14-3-3η is exclusively overexpressed in oncocytomas, and 14-3-3η is capable of inhibiting glycolysis, leading to mitochondrial biogenesis in the presence of rotenone. In particular, 14-3-3η inhibits LDHA by direct interaction in the setting of complex I dysfunction. | Human tissue specimen and cell |
Wang et al. (29) | Oxidative stress | Reactive oxygen species (ROS) and Ca2+ concentration | Activation of ROS/MAPKs-mediated pathway. | MMQ and GH3 cells |
Pawlikowski et al. (49) | Oxidative stress | Nitric oxide synthase (NOS) | NOS immunoreactivity is also detectable in all but two human pituitary adenomas and seems to negatively correlate with microvascularization. | Human tissue specimen and rats |
Sabatino et al. (50) | Oxidative stress | Nuclear factor, erythroid 2 like 2 (Nrf2) | The evidence of oxidative stress in pituitary cells, accompanies by bigger and round mitochondria during tumor development, associates with augmented biogenesis and an increased fusion process. | Rats |
Jaubert et al. (51) | Oxidative stress | Dopamine (DA) | (i) loss of mitochondrial potential; (ii) relocation of Bax to the mitochondria; (iii) cytochrome c release; (iv) caspase-3 activation, and (v) nuclear fragmentation, resulting in apoptosis. | GH3 cells |
Onishi et al. (52) | Oxidative stress | The inducible NOS (iNOS) | Invasive adenomas have higher iNOS immunoreactivity, and this correlates with the MIB-1 labeling index. | Human tissue specimen |
Huang et al. (53) | Oxidative stress | Nitric oxide (NO) | Nitric oxide mediates Nivalenol (NIV)-induced oxidative stress. Additionally, NIV induces caspase-dependent apoptosis, decrease in mitochondrial membrane potential and mitochondrial ultrastructural changes. | GH3 cells |
Babula et al. (54) | Oxidative stress | Nitric oxide (NO) metabolites level in serum | The decrease of NO level after pituitary adenoma resection indicates the relationship between NO synthesis and pituitary adenoma occurrence. | Human |
Guzzo et al. (55) | Apoptosis | Bcl-2 family | The intrinsic pathway (or mitochondrial) and extrinsic (or death-receptor pathway) | Rat pituitary cell lines, and human pituitaries tissue |
Gottardo et al. (56) | Apoptosis | Humanin (HN) and Rattin (HNr) | Intratumor injection of BV-shHNr to nude mice bearing s.c. GH3 tumors increases the number of apoptotic cells, delays tumor growth, and enhances survival rate, suggesting that endogenous HNr may be involved in pituitary tumor progression. | GH3 cells |
Gao et al. (57) | Apoptosis | Trefoil factor 3 (TFF3) | TFF3 protein level in pituitary adenoma is about 3.61 ± 0.48 folds of that in normal tissues (P < 0.01). After transfecting with small interference RNA (siRNA) against TFF3, the apoptotic ration is significantly elevated. | Human pituitary adenoma cell HP75 |
Tanase et al. (58) | Apoptosis | Apoptotic protease-activating factor-1 (APAF-1) | A bidirectional-inverted relationship between APAF-1 and cathepsin B expressions may result in changes in pituitary adenoma behavior. | Human tissue specimen |
Yang et al. (59) | Apoptosis | MicroRNA-34a | miR-34a expression is significantly lower in GH4C1 cells, whereas miR-34a overexpression significantly inhibits GH4C1 cell proliferation and promotes cell apoptosis though SRY-box 7 (SOX7). | Rats |
Cui et al. (60) | Apoptosis | MicroRNA-21 | MiR-21 targets 3'-UTR of PITX2 gene to inhibit its expression. The elevated miR-21 and/or silencing PITX2 significantly depress PITX2 expression in HP75 cells, potentiate caspase-3 activity, decrease cell proliferation, and facilitate apoptosis. | Human tissue specimen |
Wang et al. (39) | Apoptosis | MicroRNA-200c | MicroRNA-200c expression was inversely associated with Pten expression and facilitated apoptosis. | GH3 cells |
Gong et al. (61) | Apoptosis | Adrenocorticotrophic hormone | UA inhibits the viability, and induces apoptosis of AtT20 cells, and decreases ACTH secretion. | AtT20 cells |
Deyu et al. (36) | Autophagy | T-2 toxin | T-2 toxin induces abnormal cell morphology, cytoplasm and nuclear shrinkage, nuclear fragmentation and formation of apoptotic bodies, and autophagosomes. | GH3 cells |
Kim et al. (37) | Autophagy | Cyclosporine A | Bcl-2 levels showed drug dose-dependent augmentation in autophagy and were decreased in apoptosis. | GH3 cells |
Leng et al. (38) | Autophagy | Dopamine agonists | The increasing Reactive oxygen species (ROS) inhibited the MTOR pathway, induced macroautophagy/autophagy, and led to autophagic cell death (ACD) in vitro and in vivo. | Human pituitary tumor cell |
Tagliati et al. (62) | Tumor immune | Presequence translocase associated motor 16 (MAGMAS) | Mitochondria-associated protein is involved in granulocyte-macrophage colony-stimulating factor signal transduction. | Human tissue specimen and AtT-20 D16v-F2 cells |
Mitochondrial Dysfunction-Mediated Reprogramming Energy Metabolism
Energy metabolism alterations are an emerging hallmark in tumor, which are still an unresolved issue that how energy metabolism system plays in formation and progression of tumors or metastases. Tumor cell energy metabolism has mainly focused on glucose metabolism and lipid metabolism. The metabolism of glucose to lactic acid in the presence of oxygen have been recognized in cancer cells, commonly called the Warburg effect (63). Further, the reverse Warburg effect put forward in 2009 provides complementary mechanisms for cancer energy metabolism (64). In addition, novel evidence is shedding light on alterations in lipid metabolism-associated pathways that have been discussed for past years. A gene expression study find that the upregulated lipogenesis pathways are associated with poor survival outcomes (65), and the elevated levels of lipid droplets are associated with cancer aggressiveness, which has been proposed to predict prognosis of cancer (66). More interesting is that lipids could be transferred from adipocytes to cancer cells by co-culture condition to promote cancer cell growth (67). It clearly indicates that lipid metabolism disorder is closely associated with tumorigenesis, whose study would be significantly enhanced with the development of lipidomics based on electrospray ionization/mass spectrometry (ESI-MS) (68).
The citric acid cycle, oxidative phosphorylation (OXPHOS), and fatty acid beta-oxidation occur in the matrix of the mitochondrion in eukaryotic cells. Mitochondrial dysfunction is closely associated with energy metabolism reprogramming to associate cancer formation or progression (69). In the Warburg and reverse Warburg effects, cancer cells have metabolic symbiosis with mesenchymal cells, especially cancer-associated fibroblasts (CAFs), namely cancer cells produce reactive oxygen species (ROS) to induce oxidative stress and aerobic glycolysis of CAFs; in turn, CAFs produce lots of nourishments (especially lactate and pyruvate) to feed the adjacent cancer cells to produce more ATPs (64). The reverse Warburg effect shows metabolic interplay between high glycolytic cells and mitochondrial OXPHOS activates cells via lactate shuttle. Important enzymes involved in mitochondrial OXPHOS include the enzymes in the citric acid cycle and electron transport chain. The citric acid cycle is a series of enzymatic reactions to release energy through the oxidation of acetyl-CoA into ATP and carbon dioxide. The citric acid cycle is undergoing 10 steps to complete ATP production with a series of enzymatic reactions, including citrate synthase, aconitase, isocitrate dehydrogenase, α-ketoglutarate dehydrogenase, succinyl-CoA synthetase, succinate dehydrogenase, fumarase, and malate dehydrogenase. OXPHOS is the metabolic pathway in which cells use enzymes to oxidize nutrients for releasing energy to produce ATP. The eukaryotic electron transport chain contains NADH-coenzyme Q oxidoreductase (complex I), succinate-Q oxidoreductase (complex II), Q-cytochrome c oxidoreductase (complex III), cytochrome coxidase (complex IV), and ATP synthase (complex V). Furthermore, fatty acid molecules are broken down in the eukaryotic mitochondria to transform into acetyl-CoA to enter the citric acid cycle, and generate NADH and FADH2 that are co-enzymes used in the electron transport chain (Figure 2).
Mitochondria are the main location of energy metabolism pathways (citric acid cycle, OXPHOS, and fatty acid beta-oxidation). Some mitochondria-associated proteins have been reported to play a critical role in pituitary adenomas. For example, overexpression of lactate dehydrogenase A significantly promotes proliferation and invasion of pituitary adenomas, and positively correlates with higher Ki-67 index (41). Mutant succinate dehydrogenase in the citric acid cycle occurs in the pituitary adenomas (42). In addition, DNA sequencing-based genotypic studies demonstrate identical IDH1 mutations (c.394 C > T) in pituitary adenomas tissues (43). The high frequency of respiratory complex I mutations are found in mitochondrial DNA in a large panel of oncocytic pituitaries, which indicates dysfunction of respiratory complex I to cause instability of HIF1alpha in pituitary adenomas. Briefly, mutations in the mitochondria-coded MT-ND1 gene, an important composition of respiratory complex I, is closely associated with energy metabolic impairment to influence balance of succinate and alpha-ketoglutarate, which leads to the abnormal citric acid cycle metabolites (succinate and alpha-ketoglutarate) to be responsible for HIF1alpha stabilization in pituitary adenomas (44). The multifunctional succinate dehydrogenase (SDH) is located in the inner membrane of mitochondria, and serves as a critical step in Krebs cycle and a crucial member of the respiratory chain. SDH subunit D (SDHD) mutation is found in an aggressive GH-secreting pituitary adenoma, indicating SDHD mutation might link to the progression of pituitary adenomas (45). The study on SDH subunit B (SDHB) (+/–) mice finds that SDHx-deficiency is a main initiator to result in the cascade of molecular events for the formation of pituitary adenomas (46). The whole-exome sequencing analysis of pituitary oncocytomas found mitochondrial DNA mutations, respiratory complex I dysfunction, and reductions of lactate and lactate dehydrogenase A (LDHA) (48). Besides glycometabolism change, lipid metabolism is also alerted in pituitary adenomas. The gene microarray analysis of miRNAs expression profile between invasive and non-invasive non-functional pituitary adenomas finds that fatty acid metabolism plays a prominent role in pituitary adenomas (47). Therefore, energy metabolism alteration plays important roles in pituitary adenomas with high metabolic demand, which also influences cell proliferation, growth, and angiogenesis. The development of new drugs targeted mitochondria might be an new approach to block energy metabolism pathways for effective treatment of pituitary adenomas (70).
Mitochondrial Dysfunction-Mediated Oxidative Stress
Oxidative stress reflects an imbalance between free radical/reactive oxygen/nitrogen species (ROS/RNS) productions and endogenous antioxidant defense mechanisms in the cells and body, which results in damage to proteins, DNA, membrane, and cellular organelles so on (71). ROS/RNS can be beneficial because they take part in attacking and killing pathogens by the immune system (72). Short-term oxidative stress might also be meaningful in prevention from aging (73). However, oxidative stress is also involved in the development of various diseases including cancers (74–79). Severely oxidative stresses even cause cell death, apoptosis, necrosis, cell migration, fibrosis, and angiogenesis. The lipid peroxidation of fatty acids as a type of oxidative stress increased ROS/RNS to injury bilayer lipid membranes. The secondary products of lipid peroxides such as malondialdehyde, aldehydes, 4-hydroxynonenal (HNE), hexanal, or acrolein have very long and broad effects (80).
Elevated level of ROS was a key constituent in cancer survival and resistance to treatment. The mitochondrial OXPHOS system is the major sites where produce endogenous ROS, including OH and superoxide radicals () (81). Mitochondrial complexes I, II, and III play a crucial role in the generation of mitochondrial ROS. Electrons tend to be leaky at complexes I and III to cause the incomplete reduction of oxygen to generate a free radical such as superoxide (80). Mitochondrial dysfunction could result in the increased ROS in cancer cells to mediate tumor-related signaling pathways and activate pro-oncogenic signaling, which regulate cancer progression, angiogenesis, metastasis, and survival (Figure 3). Although increased ROS does not benefit the cancer cell survival, however, antioxidant substance system is also activated in cancer cells to help cancer cell death escape (82). Moreover, the presence of mitochondrial nitric oxide synthase (mtNOS) provided the opportunity to review complementary aspects of mitochondrial physiology. The mtNOS could cause the generation of a partial nitric oxide (NO) in mitochondria (83), besides large amounts of NO produced by inducible NOS (iNOS) in pathophysiological status (84). NO can react quickly with the superoxide radicals to generate more toxic peroxynitrite anion (ONOO−) or hydroxyl radical (.OH). Mitochondria, as generators and targets of NO, determine the steady-state of NO though modulating the rates of consumption and production at the subcellular levels. Thus, mtNOS plays a crucial role in this process, which was activated by calcium and transcriptional/translational regulation (85). Furthermore, NO production in mitochondria was still decided by subcellular localization of mtNOS due to post-translational modification or protein-protein interactions. Therefore, mitochondria could produce NO by temporospatial distribution of mtNOS, and receive NO signal to regulate mitochondrial events (86).
It needs further study for imbalance of ROS and RNS production resulted from mitochondria dysfunction in pituitary adenomas. Many studies found the presence of ROS/RNS in human pituitaries, and the increased activities of ROS/RNS in pituitary adenoma compared to control tissues (41, 49). Also, oxidative stress in pituitary adenoma cells is accompanied by mitochondria swelling during tumor development, and associated with an increased fusion process and augmented biogenesis. An activation of the nuclear factor erythroid 2 like 2 (Nrf2) pathway and the reduction of oxidative damage signals were also observed during tumor development, which might provide survival advantages to pituitary adenoma cells (50). ROS pathway tends to be a medium in human pituitary cells. The pro-apoptotic effects are regulated partly by the dopamine transporter in GH3 pituitary cell lines, and involve oxidative stress as well as ROS formation. The use of only dopamine to treat hypophysis cells found that intracellular ROS was increased rapidly, and antioxidant N-acetyl-L-cysteine effectively inhibited dopamine-induced ROS generation and apoptosis (51). These data clearly demonstrated that ROS formation was closely related to signaling pathways in pituitary adenomas to affect tumor biological behavior. Studies found that 18beta-glycyrrhetinic acid had significantly antitumor effects on pituitary adenomas because this drug activated mitochondria-mediated ROS-mitogen-activated protein kinase (MAPK) pathways to induce cell apoptosis in pituitary adenomas, and that these activating effects were attenuated in pituitary adenomas by pretreatment with N-acetyl-L-cysteine, a ROS inhibitor (29). Moreover, many studies found the presence of NOS in human pituitaries, and NOSs were markedly higher expressed in invasive relative to non-invasive pituitary adenomas (52). NO mediated oxidative stress in pituitary adenoma cell lines to induce caspase-dependent apoptosis (53). Another study found that serum NO concentration was significantly decreased after the surgery of patients with pituitary adenomas (n = 21), thus monitoring serum NO level after pituitary adenoma surgery might benefit the prediction of its occurrence (54).
Thereby, oxidative stress has been considered as one of essential factors to contribute in the pathogenesis of pituitary adenomas. However, its molecular mechanisms remain unclear. The previous studies have been provided clues to the mechanism; for example, “mitochondrial theory of aging” increased production of ROS with altered expression of caveolae (87). It is meaningful to explore the roles of oxidative stress-mediated apoptosis, ER stress, DNA damage, metabolism, autophagy, migration, and anticancer drugs. The in-depth understanding of the relationship between oxidative stress and mitochondrial dysfunction might benefit improvement of chemotherapeutic approaches based on ROS/RNS-modulating drugs in the treatments of pituitary adenomas.
Mitochondrial Dysfunction-Mediated Cell Apoptosis Dysregulation
Apoptosis is a gene-controlled form of programmed cell death, and is closely related to cancer. Apoptosis activation mechanisms include extrinsic and intrinsic pathways (88). The extrinsic pathway including FAS path and TNF path is activated by receptor-ligand-mediated model. Extracellular ligands binding to membrane death receptors result in the formation of death-inducing signaling complex (89). The intrinsic pathway including mitochondrial apoptosis and endoplasmic reticulum apoptosis pathways is activated by intracellular signals. Internal mitochondrial apoptosis pathway could be activated by internal apoptosis stimulators, such as persistent DNA damage, cell hypoxia, and cell growth factor deletion (90), or by death ligands and caspase 12. The Bcl-2 family proteins decrease the mitochondrial membrane potential promotion and increase mitochondrial outer membrane permeabilization, which leads to release pro-apoptotic factors such as AIF, cytochrome c, SMAC/DIABL, HTRA2/OMI, and ENDOG from the mitochondria into the cytosol (91). The increased mitochondrial outer membrane permeabilization is generally considered to activate the apoptotic pathway because the formation of apoptosome in the cytosol induces the caspase cascade (Figure 4) (92). Mitochondrial dysfunction occurred in a human pituitary tumor with mitochondrial morphological and functional changes, including large mitochondria, mitochondrial irregular swelling, and partly or fully disintegrated cristaes (16). Mitochondrial dysfunction caused change of mitochondrial membrane potential and internal apoptosis stimulator responses, which leads to mitochondria-mediated apoptosis signaling pathway alteration (93).
From the embryology angle, many apoptotic cells are formed in Rathke's pouch tissues from the roof of oral ectoderm at an early stage of pituitary gland formation. However, when adenohypophysis is formed in the distal part of the gland, the ratio of apoptotic cells was significantly lower than early stage. It means that an imbalance in apoptosis process might be the boundary between embryonic development and tumor progress. It is interested that pituitary adenoma cells undergo the imbalanced expressions of apoptosis-related genes/proteins to cause uncontrolled cell proliferation (55). Study found that targeting mitochondria could have an effective impact on the treatment of pituitary tumors through apoptosis pathway (56). For example, trefoil factor 3 (TFF3) is an apoptosis-related protein, and its knockout in human pituitary adenoma cell line decreased the levels of apoptosis-related proteins Bcl-2 and caspase-3, and increased the levels of Bax and cleaved caspase-3. It clearly demonstrated that TFF3 protein knockout can accelerate the apoptosis in human pituitary adenoma cells via mitochondrial apoptosis pathway (57). Moreover, apoptotic protease-activating factor-1 (APAF-1) is a pivotal functional protein to involve in the intrinsic mitochondrial apoptosis pathway. Low expression of APAF-1 was detected in most invasive pituitary adenomas, and was negatively correlated with the aggressive behavior of invasive pituitary adenoma, which suggested that shifting the balance of apoptosis mediators in cells could lead to changes of pituitary tumor behaviors (58). In addition, some microRNAs-target genes to mediate apoptosis pathway also have been found in pituitary adenomas. For example, tumor suppressor microR-34a overexpression significantly inhibited cell proliferation and promoted cell apoptosis in pituitary adenoma cells (59). miR-21 expression was lower in invasive relative to non-invasive pituitary adenoma tissues, and miR-21 targeted 3'-UTR of PITX2 gene to enhance caspase-3 activity, which inhibits cell proliferation and facilitates apoptosis in pituitary adenoma cells (60). Dysregulation of apoptosis-related proteins might be meaningful indicator of tumor progression because mitochondrial dysfunction pathway might facilitate tumorigenesis and tumor development (94).
The novel mechanisms in mitochondrial dysfunction-mediated cell apoptosis would facilitate the development of effective anti-cancer drugs. For example, the classical antitumor effect of paclitaxel is to target on tubulin in the cytoplasm. However, further study found that paclitaxel induced apoptosis by promoting the release of Cyt C after binding with Bcl-2 (95), which promoted one to accurately deliver paclitaxel though well-designed nanocarrier to improve its treatment performance (94). Furthermore, for adrenocorticotrophic hormone (ACTH)-producing pituitary adenomas (96), ursolic acid was found to be a potential agent targeting ACTH-producing AtT20 cells because ursolic acid inhibited cell proliferation, reduced ACTH secretion, and induced cell apoptosis in AtT20 cells with the decreased ratio of Bcl-2 to Bcl2-associated X protein to cause the release of mitochondrial cytochrome c from mitochondria to the cytosol, and activate subsequently caspase-9, -3/7, and -8. It indicates that ursolic acid may be a promising candidate drug for the treatment of ACTH-producing pituitary adenomas (61). Therefore, insights into mitochondria-mediated apoptosis might benefit the development of novel pro-apoptotic therapeutic drugs and discovery of biomarkers for early detection to treat a pituitary adenoma.
Mitochondrial Dysfunction-Mediated Autophagy Dysregulation
Autophagy or autophagocytosis meaning “self-devouring” is the natural process and common cellular phenomenon, which is involved in the processes of phagocytosis and degradation of dysfunctional or unnecessary cell components, and also reusing of cellular components (97, 98). Briefly, the dysfunctional or unnecessary components are engulfed to form a double membrane called autophagosome, and then autophagosome is fused with the lysosome, followed by degradation of the contents into smaller constituents via acidic lysosomal hydrolase within lysosome (99). Autophagy takes part in various cellular functions, and particular attention has been paid to dual functions of autophagy in cancer—both protection cells against cancer and a potentially factor in cancer cell survival. Autophagy is regulated by many of the proteins, including oncogene and tumor suppressor proteins. Specifically, tumor suppressor proteins that negatively regulate mTOR pathway, such as LKB1, PTEN, TSC1/2, and AMPK, stimulate autophagy, while oncogenes that activate mTOR pathway, such as Ras, class I PI3K, AKT, and Rheb, inhibit autophagy, indicating the contribution of autophagy to cancer growth or tumor suppression. Moreover, the inhibition of autophagy induces genomic instability, oxidative stress, and tumorigenesis. Nevertheless, autophagy also functions as a protective factor under stress conditions, including nutrient starvation, and hypoxia that facilitates tumor cell survival and sensitivity and resistance to chemotherapy (100).
Mitophagy is the complex biological process that cells selectively eliminate mitochondria by autophagy. The engulfment of mitochondria forms a double-membrane-enclosed autophagosome and then fuses with lysosomes. The process emits high-energy substances to recycle cell compartment, including fatty acids and amino acids (Figure 5) (101). Defective mitochondria undergoing damage or stress tend to the induction of mitophagy. However, the occurrence of mitophagy is not only restricted to the defective mitochondria but also involves normal ones (102). Mitophagy promotes turnover and the selective degradation of mitochondria, and prevents accumulation of dysfunctional mitochondria, which can lead to keep steady-state mitochondrial turnover, cellular metabolic needs, and certain cellular developmental stages (102). In this process, mitophagy depends on the general autophagy mechanism, meanwhile, both “mitophagy adaptors” and regulatory molecules are involved, such as p62, FUNDC1, prohibitin2, BNIP3L (NIX), PGAM5, OPA1, TBK1, CK, OPTN, and Bcl2-L13 (103). Those autophagy-related proteins activate downstream mitophagy pathways by post-translational modifications (104). Two distinct principal mitophagy mechanisms had been proved in mammalian cells. Firstly, receptor-mediated mitophagy is activated, and then recruits Atg8-like proteins to mitochondria to increase combination. Secondly, the highly ubiquitylated mitochondrial outer membrane proteins recruit bifunctional adapter proteins, which in turn increases the binding of Atg8-like proteins (105). Atg8-like proteins prompts encapsulation of mitochondria into autophagosomes through the expansion of the phagophore membrane; and fusion with the lysosome results in the formation of autolysosomes facilitating degradation of selected dysfunctional mitochondria (106). Also, mitophagy receptors exist some complex regulation mechanisms. An unmodified receptor is phosphorylated by a kinase, activating or deactivating downstream mitophagy pathway by increasing or decreasing Atg8-like proteins binding. This effect can be reversed by phosphatases. For NIX (BNIP3L), BCL2L13, and BNIP3, only the activated phosphorylation and the modified residue mechanism are understood but the kinases or phosphatases have not been identified yet for FUNDC1, the activated and deactivated phosphorylation intracellular mechanisms, the modified residues and participated kinases or phosphatases are well-known (107).
Mitochondrial dysfunction might affect mitophagy that can be related to metabolic reprogramming, inflammatory signaling, cell fate determination and differentiation, DNA damage responses in response to stress, which in turn lead to human disease incidence and etiology, including malignant tumor (103). It is well-known that mitophagy and mitochondrial dysfunction are related to pituitary adenomas. The mitochondrial toxicity and protective mechanisms of T-2 toxin are not fully understood in mammalian cells (108). The investigation of the cellular and mitochondrial toxicity of T-2 toxin shows that T-2 toxin significantly increases mitophagic activity, ROS and DNA damage in rat pituitary GH3 cells. With the increased expression of mitophagy-specific proteins, including E3 ubiquitin ligase Parkin, NIP-like protein X (NIX), and PTEN-induced putative kinase protein 1 (PINK1), T-2 toxin can be increased (109). The regulating mechanism of mitophagy is also mediated by nuclear factor (erythroid-derived 2)-like 2 (Nrf2)/PINK1/Parkin pathway in pituitary GH3 cells. The relevant drug activates the protective protein kinase A signaling pathway, which activates the Nrf2/PINK1/Parkin pathway to mediate mitophagy. Taken together, increasing mitophagy and mitochondrial dysfunction might increase chemo-resistance in pituitary GH3 cells (36). Sometimes apoptosis and autophagy coexist. Dopamine agonists such as bromocriptine and cabergoline have been successfully used in the treatment of pituitary prolactinomas. DRD5 activation increases production of ROS, inhibits the MTOR pathway, induces macroautophagy/autophagy, and leads to autophagic cell death (ACD) in human pituitary tumor cells (38). In addition, when cyclosporine A (CsA) induces apoptotic and ACD in pituitary GH3 cells, Bcl-2 levels show dose-dependent augmentation in autophagy and are decreased in apoptosis (37).
Autophagy can promote survival of tumor cells in starvation mode, or degrade cell apoptotic mediators to maintain the tumor clone. In such cases, treated patients with the late stage of autophagy—blockers (such as chloroquine), on the cells that depend on autophagy to survive, may be one of viable therapeutic measurements in fighting cancer (110). Thus, the qualities of mitophagy can be used as a therapeutic method for cancer prevention. Mitophagy plays a role in tumor suppression and tumor cell survival. One strategy is to induce mitophagy and enhance the function of antitumor. The other strategy is to inhibit mitophagy and thus induce apoptosis (111). The first strategy has been tested by monitoring dose-response anti-tumor effects during autophagy-targeted therapies. These treatment effects have shown that autophagy has some dose-dependence in tumor suppression and tumor cell survival progression. The result supports the development of therapies through autophagy (112). In addition, inhibition of the protein related to autophagy pathways may also serve as an anticancer therapy (113). Autophagy is a protein degradation system to play a role in maintaining homeostasis and inducing apoptosis. Thus, sometimes inhibition of autophagy has on the probability of existential risk as it may lead to tumor development instead of the desired cell death (114).
Mitochondrial Dysfunction-Mediated Tumor Immunity
Tumor immune escape is an important hallmark in cancer (115). Tumor-evading immune destruction is closely correlated with prognosis or survival in various tumors (116). A study found a number of tumor immunity-related inflammatory cells, for example, cytotoxic T cells (CTLs), regulatory T cells (Tregs), myeloid-derived suppressor cells (MDSCs), and natural killer (NK) cells (37). It also found a number of tumor immunity-related pathways, such as altered interleukin signaling (117), MHC-I pathway (118), type 1 cytokine-induced T-cell (119), interferon gamma signaling (120), type I interferon-mediated responses (121), and transcription factor nuclear factor-kappa B (122). Along with the advancement in tumor immunology, the immune-checkpoint blockade therapy has been an important aspect in the mode of combined therapy of tumor. One of the most important immune checkpoint pathways has been applied between the PD-1 receptor expressed on activated T cells and its ligands, programmed death-1 ligand (PD-L1) and PD-L2 (123).
Immunity process is interlinked with mitochondrial function. Mitochondria can regulate immunity in different ways (Figure 6): (i) Current literature shows that many changes of cancers occurred in substance metabolism pathways such as TCA cycle, oxidative phosphorylation, fatty acid oxidation, and amino acid metabolism. Mitochondria that induce transcriptional key enzymes or important molecule changes can lead to completely different results in immune cells (116). Thus, mitochondria can regulate differentiation, activation, and survival of immune cells (124). (ii) Mitochondrial DNA (mtDNA) could translocate from the mitochondria to cytoplasm and activate the NLRP3 inflammasome to induce IL-1β and IL-18 release (125). (iii) Mitochondria can transmit signals through mtDNA or mitochondrial ROS (mtROS) to regulate gene expressions of immune cells (126). (iv) Mitophagy is crucial for degradation of the damaged mitochondria, and the decreased mitophagy causes ROS increasing which further makes the susceptibility to infections (127). (v) Immune functions are influenced by fission and fusion of mitochondria, which determines mitochondrial mobility and mass. (vi) When mitochondria are located near endoplasmic reticulum (ER), the mitochondria and ER junction signaling could be activated in immune cells to influence immune cell metabolism (128). (vii) The inflammatory response can be initiated by mitochondrial antiviral signaling (MAVS). Therefore, mitochondrial machinery is crucial for immune functions, such as metabolic pathways, mtDNA, mtROS, mitochondrial dynamics, and mitophagy.
Tumor immune microenvironment is gradually recognized as a critical contributor in tumor progression, development, and control. The increasing studies show that immune cells infiltrate in pituitary adenomas. Dysregulation of several genes in granulocyte-macrophage colony-stimulating factor signal transduction has been regarded as a possible alteration underlying the occurrence and development of pituitary tumors, such as mitochondria-associated protein Tim 16. High-expression of Tim 16 is identified in mouse and human ACTH-secreting pituitary adenomas compared to normal pituitary to protect pituitary cells from apoptosis (62). Also, more macrophages are identified in larger pituitary adenomas, and more T cells are detected in GH-secreting pituitary adenomas. A positive correlation is found between the numbers of CD68+ macrophages and tumor sizes and grades for pituitary adenoma invasiveness. The density of infiltrated CD4+ and CD8+ T-lymphocytes may be relatively insufficient in these pituitary adenomas, but CD4+ and CD8+ T lymphocytes are significantly more in GH-secreting adenomas than non-GH adenomas. Both densely and sparsely granulated GH-adenomas had significantly more CD4+ cells than ACTH-adenomas, and significantly more CD8+ cells than null cell adenomas. These results suggest an association of the enhanced T-lymphocytes infiltration and invasiveness in pituitary adenomas, and that adjuvant immunotherapy might block the tumor enlargement and invasiveness of pituitary adenomas (129). Furthermore, study shows that low expression levels of immune-related genes induce the occurrence of pituitary adenomas (130). Another study show reveals the association of NF-κB, MMP-9, and MICA in pituitary adenomas, the higher expressions of MICA, MMP-9, and NF-κB in mRNA and protein levels in pituitary adenomas relative to healthy tissues; which found that the upregulation of NF-κB can activate the expression of MICA and increase MMP-9 expression to hydrolyze MICA into sMICA to facilitate tumor immune escape (131). Although most pituitary adenomas are treated successfully, it remains challenging to treat invasive non-functional pituitary adenomas as well as functional pituitary adenomas unresponsive to traditional therapy. Immunotherapy might be a potential alternative therapy for pituitary tumors that are resistant to traditional therapy (132). The positive PD-L1 immunostaining is significantly more frequent in functional relative to non-functional pituitary adenomas (p = 0.000). The expression level of PD-L1 is more related to the increased blood levels of ACTH-, PRL-, GH-, and cortisol-secreting pituitary adenomas. PD-L1 expression is also associated with GH and PRL immunostaining density and higher Ki-67 index (133). Thereby, immunotherapy might be a promising therapy option of functional pituitary adenomas on the basis of in-depth understanding of mitochondria-mediated immunity in pituitary adenomas.
The Mitochondrial Dynamics in Cancer
Mitochondrion is a highly dynamic organelle under the coordination between fission and fusion cycles, which is referred as “mitochondrial dynamics.” Fission-fusion cycles affect mitochondria shape, size, and distribution (134). Mitochondria transient and rapid morphological adaptations are crucial for various cellular processes such as apoptosis (135), energy metabolism (136), cell cycle (137), ROS (138), immunity (139), mitophagy (140), and mitochondrial quality control (Figure 7). Mutations of the key machinery components or defects of mitochondrial dynamics are associated with lots of human diseases, including cancer (141). These dynamic transitions are primarily regulated by large GTPases. Mitochondrial fission and fusion cycle is a multi-step process. Mitochondrial fission is controlled by recruitment of dynamin-related protein 1 (Drp1) by adaptors at ER- and actin-mediated mitochondrial constriction sites. Drp1 oligomerization results in mitochondrial constriction, which leads to dynamin 2 recruitment to terminate mitochondrial outer membrane scission. Inner mitochondrial membrane constriction is an independent process, and mediated by calcium influx. Mitochondrial fusion is driven by mitofusins 1 and 2 within the outer mitochondrial membrane, and mediated by optic atrophy 1 with inner membrane (142). Moreover, several members of membrane lipid composition could undergo post-translational modifications to regulate these processes (143). Therefore, it is crucial for one to in-depth understand molecular mechanisms of mitochondrial dynamics for further studying various cellular processes associated with human diseases.
Various cellular processes, such as apoptosis (135), energy metabolism (136), cell cycle (137), ROS (138), immunity (139), and mitophagy (140), are closely related to mitochondrial dynamics and mitochondrial dysfunction. The relationship study between cell apoptosis and mitochondrial fission found that IR-783 induces Drp1 translocation from cytoplasm to mitochondria, makes the expression of mitochondrial fission proteins (MFF) and mitochondrial fission factor fission-1 (Fis1) increased, and the expression of optic atrophy 1 (OPA1) and mitochondrial fusion proteins mitofusin1 (Mfn1) decreased. The process of mitochondrial translocation of Drp1 mediated mitochondrial fission and markedly induced apoptosis in vivo and xenograft model (144). The signaling pathways involved in mitochondrial dynamics regulation and their roles in maintaining energy metabolism has become an active area of research. Mitochondrial dynamic events, such as fusion, fission, and transport, affect the mitochondrial shape, size, function, and subcellular localization. Mitochondria dynamic changes play a crucial role in assisting metabolite transfer, biogenesis, and degradation to maintain energy homeostasis (136). Mitochondrial electron transport chain-derived ROS and mitochondrial fission/fusion rates influence this delicate balance between mitochondrial dynamics and mitochondria-derived ROS production, which plays main roles in malignant diseases (138). In addition, mitochondrial dynamics role in cancer growth connects with the immune system activity, especially T cells. Although it has not been directly verified whether or not mitochondrial dynamics are associated with lymphocytes memory formation, Drp1-dependent mitochondrial fission has the potential contribution to regulate NK memory phase. It is indicated that mitochondrial dynamics is also possible to play role in the cytotoxic activity of these lymphocytes against cancer. Thereby, mitochondria can control local calcium influx to regulate the inner mitochondrial membrane constriction. It would be then interesting to see how mitochondrial dynamics to regulate the release of cytotoxic granules by T lymphocytes (139). The close interactions between mitochondrial dynamics and mitophagy become main players in the physiological cell processes in cancers. The new metabolic changes that mainly lead to mitochondrial functions and dysfunctions are strongly related to cancers, mitochondrial dynamics, and mitophagy (140). Study demonstrates that the BCL2/BCLXL inhibitor ABT737 mediates intrinsic apoptotic pathways and mitophagy through increasing levels of DRP1 in mitochondria and rates of mitochondrial fission (145).
Conclusion
In spite of considerable progresses in understanding mitochondrial dysfunction pathway networks and mitochondrial dynamics in the pathogenesis of pituitary adenomas, many key issues remain unclear. Several lines of evidence indicate that mitochondrial dysfunction emerge cross-links with various complex biological processes, including energy metabolism, oxidative stress, cell apoptosis, cell cycle, mitophagy, and immunity process. Moreover, mitochondrial dynamics is closely associated with mitochondrial dysfunction, and also plays a critical role in many biological processes. This review breaks new ground in the comprehensive understanding of potential mechanisms underlying between mitochondrial homeostasis and tumorigenesis in pituitary adenomas. The association of mitochondrial dysfunction, mitochondrial dynamics, and the complex biological processes helps to broaden the knowledge of mitochondrial functions in cancer and perspectives regarding tumor treatment. It offers the new promising to develop new candidate targets based on mitochondrial dysfunction pathway and mitochondrial dynamics, for effective therapy in pituitary adenomas.
Author Contributions
NL collected and analyzed references, prepared figures and tables, and wrote the manuscript. XZ conceived the concept, designed, coordinated, critically revised/wrote manuscript, and was responsible for its financial supports and the corresponding works. All authors approved the final manuscript.
Conflict of Interest
The authors declare that the research was conducted in the absence of any commercial or financial relationships that could be construed as a potential conflict of interest.
Glossary
Abbreviations
- ACTH
Adrenocorticotrophic hormone
- AIF
Apoptosis-inducing factor mitochondria-associated 1
- AMPK
Protein kinase AMP-activated catalytic subunit alpha 1
- APAF-1
Apoptotic protease-activating factor-1
- ATP
Adenosine triphosphate
- Bcl-2
Apoptosis regulator
- BNIP3L
BCL2 interacting protein 3 like
- CAF
Cancer-associated fibroblasts
- CAPN2
Calpain 2
- CK
Choline kinase alpha
- CTLs
Certain cytotoxic T cells
- DNA
Deoxyribonucleic acid
- Drp1
Dynamin-related protein 1
- ER
Endoplasmic reticulum
- ESI-MS
Electro-spray ionization-mass spectrometry
- FADH2
Flavin adenine dinucleotide reduced
- Fis1
Mitochondrial fission factor fission-1
- FUNDC1
FUN14 domain containing 1
- GH
Growth hormone
- HNE
4-hydroxynonenal
- HTRA2/OMI
HtrA serine peptidase 2
- IDH1
Isocitrate dehydrogenase 1
- IL-18
Interleukin-18
- IL-1β
Interleukin 1β
- ITPR1, Inositol 1, 4
5-trisphosphate receptor type 1
- KIi-67
Nuclcar-associated antigen
- LDHA
Lactate dehydrogenase A
- LKB1
Serine/threonine kinase 11
- MAVS
Mitochondrial antiviral signaling
- MDSCs
Myeloid-derived suppressor cells
- MFF
Mitochondrial fission proteins
- Mfn1
Mitochondrial fusion proteins mitofusin 1
- MHC-I, Major histocompatibility complex
class I
- MMP-9
Matrix metallopeptidase 9
- MT/ND1
Mitochondrially encoded NADH dehydrogenase 1
- mtNOS
Mitochondrial nitric oxide synthase
- mtROS
Mitochondrial ROS
- NADH
Nicotinamide adenine dinucleotide
- NF-κB/IRF
Nuclear factor kappa B subunit 1/tripartite motif containing 63
- NK
Natural killer
- NLRP3
NLR family pyrin domain containing 3
- NO
Nitric oxide
- Nrf2
Nuclear factor erythroid 2 like 2
- OPA1
Optic atrophy 1
- OPTN
Optineurin
- OXPHOS
Oxidative phosphorylation
- PD-L1
Programmed cell death 1 ligand 1
- PD-L2
Programmed cell death 1 ligand 2
- PGAM5
PGAM family member 5
- PI3K, Phosphatidylinositol-4
5-bisphosphate 3-kinase catalytic subunit beta
- PINK1
PTEN-induced putative kinase protein 1
- PITX2
Paired like homeodomain 2
- PPP3CA
Protein phosphatase 3 catalytic subunit alpha
- PPPM, Predictive, preventive
and personalized Medicine
- PRKCA
Protein kinase C alpha
- PTEN
Phosphatase and tensin homolog
- Ras
RAS proto-oncogene GTPase
- Rheb
Ras homolog mTORC1 binding
- RIG-I
Retinoic acid-inducible gene I
- RNA
Ribonucleic acid
- RNS
Reactive nitrogen species
- ROS
Reactive oxygen species
- SDH
Succinate dehydrogenase
- SIRT3, Programmed cell death 1PD-1
sirtuin 3
- SMAC/DIABL
Diablo IAP-binding mitochondrial protein
- TBK1
TANK binding kinase 1
- TCA
Tricarboxylic acid cycle
- TFF3
ENDOG trefoil factor 3
- TLR2
Toll-like receptor 2
- TNF
Tumor necrosis factor
- Tregs
Regulatory T cells
- TSC1/2
TSC complex subunit .
Footnotes
Funding. This work was supported by the grants from Hunan Provincial Hundred Talent Plan (to XZ), the China 863 Plan Project (Grant No. 2014AA020610-1 to XZ), National Natural Science Foundation of China (Grant No. 81572278 and 81272798), the Xiangya Hospital Funds for Talent Introduction (to XZ), and the Hunan Provincial Natural Science Foundation of China (Grant No. 14JJ7008 to XZ).
References
- 1.Stalla GK, Ciato D, Dimopoulou C. “The adrenal gland: central relay in health and disease - Current challenges and perspectives 2018” - Cushing's disease. Exp Clin Endocrinol Diabetes. (2018) 127:147–55. 10.1055/a-0664-7632 [DOI] [PubMed] [Google Scholar]
- 2.Zhan X, Wang X, Cheng T. Human pituitary adenoma proteomics: new progresses and perspectives. Front Endocrinol. (2016) 7:54. 10.3389/fendo.2016.00054 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 3.Qian S, Yang Y, Li N, Cheng T, Wang X, Liu J, et al. Prolactin variants in human pituitaries and pituitary adenomas identified with two-dimensional gel electrophoresis and mass spectrometry. Front Endocrinol. (2018) 9:468. 10.3389/fendo.2018.00468 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 4.Lopes MBS. The 2017 World Health Organization classification of tumors of the pituitary gland: a summary. Acta Neuropathol. (2017) 134:521–35. 10.1007/s00401-017-1769-8 [DOI] [PubMed] [Google Scholar]
- 5.Reimondo G, Puglisi S, Pia A, Terzolo M. Autonomous hypercortisolism: definition and clinical implications. Minerva Endocrinol. (2018) 44:33–42. 10.23736/s0391-1977.18.02884-5 [DOI] [PubMed] [Google Scholar]
- 6.Zhan X, Huang Y, Long Y. Two-dimensional gel electrophoresis coupled with mass spectrometry methods for an analysis of human pituitary adenoma tissue proteome. J Vis Exp. (2018) 134:e56739 10.3791/56739 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 7.Cheng T, Zhan X. Pattern recognition for predictive, preventive, and personalized medicine in cancer. Epma J. (2017) 8:51–60. 10.1007/s13167-017-0083-9 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 8.Zhu H, Tamura T, Hamachi I. Chemical proteomics for subcellular proteome analysis. Curr Opin Chem Biol. (2018) 48:1–7. 10.1016/j.cbpa.2018.08.001 [DOI] [PubMed] [Google Scholar]
- 9.Robin T, Bairoch A, Muller M, Lisacek F. Large-scale reanalysis of publicly available hela cell proteomics data in the context of the human proteome project. (2018) 17:4160–70. 10.1021/acs.jproteome.8b00392 [DOI] [PubMed] [Google Scholar]
- 10.Moreno CS, Evans CO, Zhan X, Okor M, Desiderio DM, Oyesiku NM. Novel molecular signaling and classification of human clinically nonfunctional pituitary adenomas identified by gene expression profiling and proteomic analyses. Cancer Res. (2005) 65:10214–22. 10.1158/0008-5472.can-05-0884 [DOI] [PubMed] [Google Scholar]
- 11.Evans CO, Moreno CS, Zhan X, McCabe MT, Vertino PM, Desiderio DM, et al. Molecular pathogenesis of human prolactinomas identified by gene expression profiling, RT-qPCR, and proteomic analyses. Pituitary. (2008) 11:231–245. 10.1007/s11102-007-0082-2 [DOI] [PubMed] [Google Scholar]
- 12.Tanase C, Codrici E, Popescu ID, Cruceru ML, Enciu AM, Albulescu R, et al. Angiogenic markers: molecular targets for personalized medicine in pituitary adenoma. Per Med. (2013) 10:539–48. 10.2217/pme.13.61 [DOI] [PubMed] [Google Scholar]
- 13.Gygi SP, Rochon Y, Franza BR, Aebersold R. Correlation between protein and mRNA abundance in yeast. Mol Cell Biol. (1999) 19:1720–30. [DOI] [PMC free article] [PubMed] [Google Scholar]
- 14.Anderson L, Seilhamer J. A comparison of selected mRNA and protein abundances in human liver. Electrophoresis. (1997) 18:533–7. 10.1002/elps.1150180333 [DOI] [PubMed] [Google Scholar]
- 15.Li N, Li H, Cao L, Zhan X. Quantitative analysis of the mitochondrial proteome in human ovarian carcinomas. Endocr Relat Cancer. (2018) 25:909–31. 10.1530/erc-18-0243 [DOI] [PubMed] [Google Scholar]
- 16.Wallace DC. Mitochondria and cancer. Nat Rev Cancer. (2012) 12:685–98. 10.1038/nrc3365 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 17.Magalhaes J, Venditti P, Adhihetty PJ, Ramsey JJ, Ascensao A. Mitochondria in health and disease. Oxid Med Cell Longev. (2014) 2014:814042. 10.1155/2014/814042 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 18.Zhan X, Desiderio DM. Signaling pathway networks mined from human pituitary adenoma proteomics data. BMC Med Genomics. (2010) 3:13. 10.1186/1755-8794-3-13 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 19.Zhan X, Wang X, Long Y, Desiderio DM. Heterogeneity analysis of the proteomes in clinically nonfunctional pituitary adenomas. BMC Med Genomics. (2014) 7:69. 10.1186/s12920-014-0069-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 20.Lu M, Wang Y, Zhan X. The MAPK pathway-based drug therapeutic targets in pituitary adenomas. Front Endocrinol. (2019) 10:330. 10.3389/fendo.2019.00330 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 21.Tanase CP, Neagu M, Albulescu R. Key signaling molecules in pituitary tumors. Expert Rev Mol Diagn. (2009) 9:859–77. 10.1586/erm.09.60 [DOI] [PubMed] [Google Scholar]
- 22.Fujisawa H, Tohma Y, Muramatsu N, Kida S, Kaizaki Y, Tamamura H. Spindle cell oncocytoma of the adenohypophysis with marked hypervascularity. Case report. Neurol Med Chir. (2012) 52:594–8. 10.2176/nmc.52.594 [DOI] [PubMed] [Google Scholar]
- 23.Saeger W, Rubenach-Gerz K, Caselitz J, Ludecke DK. Electron microscopical morphometry of GH producing pituitary adenomas in comparison with normal GH cells. Virchows Arch A Pathol Anat Histopathol. (1987) 411:467–72. [DOI] [PubMed] [Google Scholar]
- 24.Yamada S, Asa SL, Kovacs K. Oncocytomas and null cell adenomas of the human pituitary: morphometric and in vitro functional comparison. Virchows Arch A Pathol Anat Histopathol. (1988) 413:333–9. [DOI] [PubMed] [Google Scholar]
- 25.Saeger W, Kant P, Caselitz J, Ludecke DK. Electron microscopical morphometry of pituitary adenomas. Comparison of tumours in acromegaly and hyperprolactinemia. Pathol Res Pract. (1988) 183:17–24. [PubMed] [Google Scholar]
- 26.Yang QH, Xu JN, Xu RK, Pang SF. Antiproliferative effects of melatonin on the growth of rat pituitary prolactin-secreting tumor cells in vitro. J Pineal Res. (2007) 42:172–9. 10.1111/j.1600-079X.2006.00403.x [DOI] [PubMed] [Google Scholar]
- 27.Wang BQ, Yang QH, Xu RK, Xu JN. Elevated levels of mitochonrial respiratory complexes activities and ATP production in 17-beta-estradiol-induced prolactin-secretory tumor cells in male rats are inhibited by melatonin in vivo and in vitro. Chin Med J. (2013) 126:4724–30. 10.3760/cma.j.issn.0366-6999.20131965 [DOI] [PubMed] [Google Scholar]
- 28.Dai C, Zhang B, Liu X, Guo K, Ma S, Cai F, et al. Pyrimethamine sensitizes pituitary adenomas cells to temozolomide through cathepsin B-dependent and caspase-dependent apoptotic pathways. Int J Cancer. (2013) 133:1982–93. 10.1002/ijc.28199 [DOI] [PubMed] [Google Scholar]
- 29.Wang D, Wong HK, Feng YB, Zhang ZJ. 18beta-glycyrrhetinic acid induces apoptosis in pituitary adenoma cells via ROS/MAPKs-mediated pathway. J Neurooncol. (2014) 116:221–30. 10.1007/s11060-013-1292-2 [DOI] [PubMed] [Google Scholar]
- 30.Tang J, Wang Z, Chen L, Huang G, Hu X. Gossypol acetate induced apoptosis of pituitary tumor cells by targeting the BCL-2 via the upregulated microRNA miR-15a. Int J Clin Exp Med. (2015) 8:9079–85. [PMC free article] [PubMed] [Google Scholar]
- 31.Ji YZ, Geng L. Chinese herbal medicine Yougui Pill reduces exogenous glucocorticoid-induced apoptosis in anterior pituitary cells. Neural Regen Res. (2016) 11:1962–8. 10.4103/1673-5374.197138 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 32.Zhou HB, Wei HC, Chen HD, Liu X, Guo P, Liu A, et al. Nitric oxide (NO)-mediated mitochondrial damage plays a critical role in T-2 toxin-induced apoptosis and growth hormone deficiency in rat anterior pituitary GH3 cells. Food Chem Toxicol. (2017) 102:11–23. 10.1016/j.fct.2017.01.017 [DOI] [PubMed] [Google Scholar]
- 33.Zhao Y, Zhang L, Yan A, Chen D, Xie R, Liu Y, et al. Grifolic acid induces GH3 adenoma cell death by inhibiting ATP production through a GPR120-independent mechanism. BMC Pharmacol Toxicol. (2018) 19:26. 10.1186/s40360-018-0215-4 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 34.Zhang Q, Li C, Zhou Y, Zhao S, Hong L, Song Q, et al. The critical role of p16/Rb pathway in the inhibition of GH3 cell cycle induced by T-2 toxin. Toxicology. (2018) 400–1:28–39. 10.1016/j.tox.2018.03.006. [DOI] [PubMed] [Google Scholar]
- 35.Wei Y, Zhou X, Ren L, Wang C, Li Y. The prolactin-release inhibitor paeoniflorin suppresses proliferation and induces apoptosis in prolactinoma cells via the mitochondria-dependent pathway. J Cell Biochem. (2018) 119:5704–14. 10.1002/jcb.26752 [DOI] [PubMed] [Google Scholar]
- 36.Deyu H, Luqing C, Xianglian L, Pu G, Qirong L, Xu W, et al. Protective mechanisms involving enhanced mitochondrial functions and mitophagy against T-2 toxin-induced toxicities in GH3 cells. Toxicol Lett. (2018) 295:41–53. 10.1016/j.toxlet.2018.05.041 [DOI] [PubMed] [Google Scholar]
- 37.Kim HS, Choi SI, Jeung EB, Yoo YM. Cyclosporine A induces apoptotic and autophagic cell death in rat pituitary GH3 cells. PLoS ONE. (2014) 9:e108981. 10.1371/journal.pone.0108981 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 38.Leng ZG, Lin SJ, Wu ZR, Guo YH, Cai L, Shang HB, et al. Activation of DRD5 (dopamine receptor D5) inhibits tumor growth by autophagic cell death. Autophagy. (2017) 13:1404–19. 10.1080/15548627.2017.1328347 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 39.Wang X, Du Q, Mao Z, Fan X, Hu B, Wang Z, et al. Combined treatment with artesunate and bromocriptine has synergistic anticancer effects in pituitary adenoma cell lines. Oncotarget. (2017) 8:45874–87. 10.18632/oncotarget.17437 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 40.Wang X, Guo T, Peng F, Long Y, Mu Y, Yang H, et al. Proteomic and functional profiles of a follicle-stimulating hormone positive human nonfunctional pituitary adenoma. Electrophoresis. (2015) 36:1289–304. 10.1002/elps.201500006 [DOI] [PubMed] [Google Scholar]
- 41.An J, Zhang Y, He J, Zang Z, Zhou Z, Pei X, et al. Lactate dehydrogenase A promotes the invasion and proliferation of pituitary adenoma. Sci Rep. (2017) 7:4734. 10.1038/s41598-017-04366-5 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 42.Casar-Borota O, Oystese KA, Sundstrom M, Melchior L, Popovic VA. high-throughput analysis of the IDH1(R132H) protein expression in pituitary adenomas. Pituitary. (2016) 19:407–14. 10.1007/s11102-016-0720-7 [DOI] [PubMed] [Google Scholar]
- 43.Hao S, Hong CS, Feng J, Yang C, Chittiboina P, Zhang J, et al. Somatic IDH1 mutation in a pituitary adenoma of a patient with Maffucci syndrome. J Neurosurg. (2016) 124:1562–7. 10.3171/2015.4.jns15191 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 44.Porcelli AM, Ghelli A, Ceccarelli C, Lang M, Cenacchi G, Capristo M, et al. The genetic and metabolic signature of oncocytic transformation implicates HIF1alpha destabilization. Hum Mol Genet. (2010) 19:1019–32. 10.1093/hmg/ddp566 [DOI] [PubMed] [Google Scholar]
- 45.Xekouki P, Stratakis CA. Succinate dehydrogenase (SDHx) mutations in pituitary tumors: could this be a new role for mitochondrial complex II and/or Krebs cycle defects? Endocr Relat Cancer. (2012) 19:C33–40. 10.1530/erc-12-0118 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 46.Xekouki P, Szarek E, Bullova P, Giubellino A, Quezado M, Mastroyannis SA, et al. Pituitary adenoma with paraganglioma/pheochromocytoma (3PAs) and succinate dehydrogenase defects in humans and mice. J Clin Endocrinol Metab. (2015) 100:E710–9. 10.1210/jc.2014-4297 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 47.Wu S, Gu Y, Huang Y, Wong TC, Ding H, Liu T, et al. Novel biomarkers for non-functioning invasive pituitary adenomas were identified by using analysis of microRNAs expression profile. Biochem Genet. (2017) 55:253–67. 10.1007/s10528-017-9794-9 [DOI] [PubMed] [Google Scholar]
- 48.Feng J, Zhang Q, Li C, Zhou Y, Zhao S, Hong L, et al. Enhancement of mitochondrial biogenesis and paradoxical inhibition of lactate dehydrogenase mediated by 14-3-3eta in oncocytomas. J Pathol. (2018) 245:361–72. 10.1002/path.5090 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 49.Pawlikowski M, Winczyk K, Jaranowska M. Immunohistochemical demonstration of nitric oxide synthase (NOS) in the normal rat pituitary gland, estrogen-induced rat pituitary tumor and human pituitary adenomas. Folia Histochem Cytobiol. (2003) 41:87–90. [PubMed] [Google Scholar]
- 50.Sabatino ME, Grondona E, Sosa LDV, Mongi Bragato B, Carreno L, Juarez V, et al. Oxidative stress and mitochondrial adaptive shift during pituitary tumoral growth. Free Radic Biol Med. (2018) 120:41–55. 10.1016/j.freeradbiomed.2018.03.019 [DOI] [PubMed] [Google Scholar]
- 51.Jaubert A, Ichas F, Bresson-Bepoldin L. Signaling pathway involved in the pro-apoptotic effect of dopamine in the GH3 pituitary cell line. Neuroendocrinology. (2006) 83:77–88. 10.1159/000094044 [DOI] [PubMed] [Google Scholar]
- 52.Onishi K, Kamida T, Momii Y, Abe T, Fujiki M. The clinical and pathological significance of nitric oxide synthase in human pituitary adenomas: a comparison with MIB-1. Endocrine. (2014) 46:154–9. 10.1007/s12020-013-0046-4 [DOI] [PubMed] [Google Scholar]
- 53.Huang D, Cui L, Guo P, Xue X, Wu Q, Hussain HI, et al. Nitric oxide mediates apoptosis and mitochondrial dysfunction and plays a role in growth hormone deficiency by nivalenol in GH3 cells. Sci Rep. (2017) 7:17079. 10.1038/s41598-017-16908-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 54.Babula D, Horecka A, Luchowska-Kocot D, Kocot J, Kurzepa J. Decreased nitric oxide serum level after pituitary adenoma resection. J Neurosurg Sci. (2017). 10.23736/s0390-5616.17.04083-8. [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
- 55.Guzzo MF, Carvalho LR, Bronstein MD. Apoptosis: its role in pituitary development and neoplastic pituitary tissue. Pituitary. (2014) 17:157–62. 10.1007/s11102-013-0481-5 [DOI] [PubMed] [Google Scholar]
- 56.Gottardo MF, Pidre ML, Zuccato C, Asad AS, Imsen M, Jaita G, et al. Baculovirus-based gene silencing of Humanin for the treatment of pituitary tumors. Apoptosis. (2018) 23:143–51. 10.1007/s10495-018-1444-0 [DOI] [PubMed] [Google Scholar]
- 57.Gao F, Pan S, Liu B, Zhang H. TFF3 knockout in human pituitary adenoma cell HP75 facilitates cell apoptosis via mitochondrial pathway. Int J Clin Exp Pathol. (2015) 8:14568–73. [PMC free article] [PubMed] [Google Scholar]
- 58.Tanase C, Albulescu R, Codrici E, Calenic B, Popescu ID, Mihai S, et al. Decreased expression of APAF-1 and increased expression of cathepsin B in invasive pituitary adenoma. Onco Targets Ther. (2015) 8:81–90. 10.2147/ott.s70886 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 59.Yang Z, Zhang T, Wang Q, Gao H. Overexpression of microRNA-34a attenuates proliferation and induces apoptosis in pituitary adenoma cells via SOX7. Mol Ther Oncol. (2018) 10:40–7. 10.1016/j.omto.2018.07.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 60.Cui M, Zhang M, Liu HF, Wang JP. Effects of microRNA-21 targeting PITX2 on proliferation and apoptosis of pituitary tumor cells. Eur Rev Med Pharmacol Sci. (2017) 21:2995–3004. [PubMed] [Google Scholar]
- 61.Gong YY, Liu YY, Yu S, Zhu XN, Cao XP, Xiao HP. Ursolic acid suppresses growth and adrenocorticotrophic hormone secretion in AtT20 cells as a potential agent targeting adrenocorticotrophic hormone-producing pituitary adenoma. Mol Med Rep. (2014) 9:2533–9. 10.3892/mmr.2014.2078 [DOI] [PubMed] [Google Scholar]
- 62.Tagliati F, Gentilin E, Buratto M, Mole D, degli Uberti EC, Zatelli MC. Magmas, a gene newly identified as overexpressed in human and mouse ACTH-secreting pituitary adenomas, protects pituitary cells from apoptotic stimuli. Endocrinology. (2010) 151:4635–42. 10.1210/en.2010-0441 [DOI] [PubMed] [Google Scholar]
- 63.Warburg O. On the origin of cancer cells. Science. (1956) 123:309–14. [DOI] [PubMed] [Google Scholar]
- 64.Pavlides S, Whitaker-Menezes D, Castello-Cros R, Flomenberg N, Witkiewicz AK, Frank PG, et al. The reverse Warburg effect: aerobic glycolysis in cancer associated fibroblasts and the tumor stroma. Cell Cycle. (2009) 8:3984–4001. 10.4161/cc.8.23.10238 [DOI] [PubMed] [Google Scholar]
- 65.Vargas T, Moreno-Rubio J, Herranz J, Cejas P, Molina S, Gonzalez-Vallinas M, et al. ColoLipidGene: signature of lipid metabolism-related genes to predict prognosis in stage-II colon cancer patients. Oncotarget. (2015) 6:7348–63. 10.18632/oncotarget.3130 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 66.Yue S, Li J, Lee SY, Lee HJ, Shao T, Song B, et al. Cholesteryl ester accumulation induced by PTEN loss and PI3K/AKT activation underlies human prostate cancer aggressiveness. Cell Metab. (2014) 19:393–406. 10.1016/j.cmet.2014.01.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 67.Nieman KM, Kenny HA, Penicka CV, Ladanyi A, Buell-Gutbrod R, Zillhardt MR, et al. Adipocytes promote ovarian cancer metastasis and provide energy for rapid tumor growth. Nat Med. (2011) 17:1498–503. 10.1038/nm.2492 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 68.Griffiths WJ, Wang Y. An update on oxysterol biochemistry: new discoveries in lipidomics. Biochem Biophys Res Commun. (2018) 504:617–22. 10.1016/j.bbrc.2018.02.019 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 69.Wanet A, Arnould T, Najimi M, Renard P. Connecting mitochondria, metabolism, and stem cell fate. Stem Cells Dev. (2015) 24:1957–71. 10.1089/scd.2015.0117 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 70.Oldfield EH, Merrill MJ. Apoplexy of pituitary adenomas: the perfect storm. J Neurosurg. (2015) 122: 1444–9. 10.3171/2014.10.jns141720 [DOI] [PubMed] [Google Scholar]
- 71.Sinha N, Dabla PK. Oxidative stress and antioxidants in hypertension-a current review. Curr Hypertens Rev. (2015) 11:132–42. 10.2174/1573402111666150529130922 [DOI] [PubMed] [Google Scholar]
- 72.Xu H, Wang X, Burchiel SW. Toxicity of environmentally-relevant concentrations of arsenic on developing T lymphocyte. Environ Toxicol Pharmacol. (2018) 62:107–13. 10.1016/j.etap.2018.07.003 [DOI] [PubMed] [Google Scholar]
- 73.Kaarniranta K, Kajdanek J, Morawiec J, Pawlowska E, Blasiak J. PGC-1alpha protects RPE cells of the aging retina against oxidative stress-induced degeneration through the regulation of senescence and mitochondrial quality control. The significance for AMD pathogenesis. Int J Mol Sci. (2018) 19:E2317. 10.3390/ijms19082317 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 74.Hassanzadeh K, Rahimmi A. Oxidative stress and neuroinflammation in the story of Parkinson's disease: could targeting these pathways write a good ending? J Cell Physiol. (2018) 234:23–32. 10.1002/jcp.26865 [DOI] [PubMed] [Google Scholar]
- 75.Matsuzaki J, Ochiya T. Extracellular microRNAs and oxidative stress in liver injury: a systematic mini review. J Clin Biochem Nutr. (2018) 63:6–11. 10.3164/jcbn.17-123 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 76.Siasos G, Tsigkou V, Kosmopoulos M, Theodosiadis D, Simantiris S, Tagkou NM, et al. Mitochondria and cardiovascular diseases-from pathophysiology to treatment. J Cell Physiol. (2018) 6:256. 10.21037/atm.2018.06.21 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 77.van der Vliet A, Janssen-Heininger YMW, Anathy V. Oxidative stress in chronic lung disease: from mitochondrial dysfunction to dysregulated redox signaling. Mol Aspects Med. (2018). 63:59–69. 10.1016/j.mam.2018.08.001 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 78.Tsuchiya T, Kijima A, Ishii Y, Takasu S, Yokoo Y, Nishikawa A, et al. Mechanisms of oxidative stress-induced in vivo mutagenicity by potassium bromate and nitrofurantoin. J Toxicol Pathol. (2018) 31:179–88. 10.1293/tox.2018-0024 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 79.Rekha VR, Sunil S, Rathy R. Evaluation of oxidative stress markers in oral lichen planus. J Oral Maxillofac Pathol. (2017) 21:387–93. 10.4103/jomfp.JOMFP_19_17 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 80.Kumari S, Badana AK, G MM GS, Malla R. Reactive oxygen species: a key constituent in cancer survival. Biomark Insights. (2018) 13:1177271918755391. 10.1177/1177271918755391 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 81.Fischer N, Seo EJ, Efferth T. Prevention from radiation damage by natural products. Phytomedicine. (2018) 47:192–200. 10.1016/j.phymed.2017.11.005 [DOI] [PubMed] [Google Scholar]
- 82.Tang JY, Farooqi AA, Ou-Yang F, Hou MF, Huang HW, Wang HR, et al. Oxidative stress-modulating drugs have preferential anticancer effects - involving the regulation of apoptosis, DNA damage, endoplasmic reticulum stress, autophagy, metabolism, and migration. Semin Cancer Biol. (2018) 58:109–17. 10.1016/j.semcancer.2018.08.010 [DOI] [PubMed] [Google Scholar]
- 83.Kato K, Giulivi C. Critical overview of mitochondrial nitric-oxide synthase. Front Biosci. (2006) 11:2725–38. 10.2741/2002 [DOI] [PubMed] [Google Scholar]
- 84.Shvedova M, Anfinogenova Y, Popov SV, Atochin DN. Connexins and nitric oxide inside and outside mitochondria: significance for cardiac protection and adaptation. Front Physiol. (2018) 9:479. 10.3389/fphys.2018.00479 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 85.Navarro A, Boveris A. Mitochondrial nitric oxide synthase, mitochondrial brain dysfunction in aging, and mitochondria-targeted antioxidants. Adv Drug Deliv Rev. (2008) 60:1534–44. 10.1016/j.addr.2008.05.002 [DOI] [PubMed] [Google Scholar]
- 86.Zaobornyj T, Ghafourifar P. Strategic localization of heart mitochondrial NOS: a review of the evidence. Am J Physiol Heart Circ Physiol. (2012) 303:H1283–93. 10.1152/ajpheart.00674.2011 [DOI] [PubMed] [Google Scholar]
- 87.Caravia L, Dudau M, Gherghiceanu M, Tanase C, Enciu AM. Could caveolae be acting as warnings of mitochondrial ageing? Mech Ageing Dev. (2015) 146–8:81–7. 10.1016/j.mad.2015.04.003 [DOI] [PubMed] [Google Scholar]
- 88.Jin Y, Chen S, Li N, Liu Y, Cheng G, Zhang C, et al. Defect-related luminescent bur-like hydroxyapatite microspheres induced apoptosis of MC3T3-E1 cells by lysosomal and mitochondrial pathways. Sci China Life Sci. (2018) 61:464–75. 10.1007/s11427-017-9258-3 [DOI] [PubMed] [Google Scholar]
- 89.Zakeri Z, Lockshin RA. Cell death: history and future. Adv Exp Med Biol. (2008) 615:1–11. 10.1007/978-1-4020-6554-5_1 [DOI] [PubMed] [Google Scholar]
- 90.Visalli G, Baluce B, Bertuccio M, Picerno I, Di Pietro A. Mitochondrial-mediated apoptosis pathway in alveolar epithelial cells exposed to the metals in combustion-generated particulate matter. J Toxicol Environ Health A. (2015) 78:697–709. 10.1080/15287394.2015.1024081 [DOI] [PubMed] [Google Scholar]
- 91.Hantusch A, Rehm M, Brunner T. Counting on Death - Quantitative aspects of Bcl-2 family regulation. FEBS J. (2018) 285:4124–38. 10.1111/febs.14516 [DOI] [PubMed] [Google Scholar]
- 92.Pena-Blanco A, Garcia-Saez AJ. Bax, Bak and beyond - mitochondrial performance in apoptosis. FEBS J. (2018) 285:416–31. 10.1111/febs.14186 [DOI] [PubMed] [Google Scholar]
- 93.Xiong S, Mu T, Wang G, Jiang X. Mitochondria-mediated apoptosis in mammals. Protein Cell. (2014) 5:737–49. 10.1007/s13238-014-0089-1 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 94.Hou XS, Wang HS, Mugaka BP, Yang GJ, Ding Y. Mitochondria: promising organelle targets for cancer diagnosis and treatment. Biomater Sci. (2018) 6:2786–97. 10.1039/c8bm00673c [DOI] [PubMed] [Google Scholar]
- 95.Andre N, Braguer D, Brasseur G, Goncalves A, Lemesle-Meunier D, Guise S, et al. Paclitaxel induces release of cytochrome c from mitochondria isolated from human neuroblastoma cells'. Cancer Res. (2000) 60:5349–53. [PubMed] [Google Scholar]
- 96.Ogando-Rivas E, Alalade AF, Boatey J, Schwartz TH. Double pituitary adenomas are most commonly associated with GH- and ACTH-secreting tumors: systematic review of the literature. Pituitary. (2017) 20:702–8. 10.1007/s11102-017-0826-6 [DOI] [PubMed] [Google Scholar]
- 97.Mizushima N, Komatsu M. Autophagy: renovation of cells and tissues. Cell. (2011) 147:728–41. 10.1016/j.cell.2011.10.026 [DOI] [PubMed] [Google Scholar]
- 98.Dlugonska H. Autophagy as a universal intracellular process. A comment on the 2016 Nobel Prize in Physiology or Medicine. Ann Parasitol. (2017) 63:153–7. 10.17420/ap6303.100 [DOI] [PubMed] [Google Scholar]
- 99.Klionsky DJ, Abdelmohsen K, Abe A, Abedin MJ, Abeliovich H, Acevedo Arozena A, et al. Guidelines for the use and interpretation of assays for monitoring autophagy (3rd edition). Autophagy. (2016) 12:1–222. 10.1080/15548627.2015.1100356 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 100.Avalos Y, Canales J, Bravo-Sagua R. Tumor suppression and promotion by autophagy. Biomed Res Int. (2014) 2014:603980. 10.1155/2014/603980 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 101.Martins WK, Santos NF, Rocha CS, Bacellar IOL, Tsubone TM, Viotto AC, et al. Parallel damage in mitochondria and lysosomes is an efficient way to photoinduce cell death. Autophagy. (2018) 15:259–79. 10.1080/15548627.2018.1515609 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 102.Youle RJ, Narendra DP. Mechanisms of mitophagy. Nat Rev Mol Cell Biol. (2011) 12:9–14. 10.1038/nrm3028 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 103.Drake LE, Springer MZ, Poole LP, Kim CJ, Macleod KF. Expanding perspectives on the significance of mitophagy in cancer. Semin Cancer Biol. (2017) 47:110–24. 10.1016/j.semcancer.2017.04.008 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 104.Wu H, Wei H, Sehgal SA, Liu L, Chen Q. Mitophagy receptors sense stress signals and couple mitochondrial dynamic machinery for mitochondrial quality control. Free Radic Biol Med. (2016) 100:199–209. 10.1016/j.freeradbiomed.2016.03.030 [DOI] [PubMed] [Google Scholar]
- 105.Zimmermann M, Reichert A S. How to get rid of mitochondria: crosstalk and regulation of multiple mitophagy pathways. Biol Chem. (2017) 399:29–45. 10.1515/hsz-2017-0206 [DOI] [PubMed] [Google Scholar]
- 106.Boyle KB, Randow F. The role of ‘eat-me' signals and autophagy cargo receptors in innate immunity. Curr Opin Microbiol. (2013) 16:339–48. 10.1016/j.mib.2013.03.010 [DOI] [PubMed] [Google Scholar]
- 107.Zhang L, Qin Y, Chen M. Viral strategies for triggering and manipulating mitophagy. Autophagy. (2018) 14:1665–73. 10.1080/15548627.2018.1466014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 108.Yang L, Tu D, Zhao Z, Cui J. Cytotoxicity and apoptosis induced by mixed mycotoxins (T-2 and HT-2 toxin) on primary hepatocytes of broilers in vitro. Toxicon. (2017) 129:1–10. 10.1016/j.toxicon.2017.01.001 [DOI] [PubMed] [Google Scholar]
- 109.Zhu CC, Zhang Y, Duan X, Han J, Sun SC. Toxic effects of HT-2 toxin on mouse oocytes and its possible mechanisms. Arch Toxicol. (2016) 90:1495–505. 10.1007/s00204-015-1560-3 [DOI] [PubMed] [Google Scholar]
- 110.Vlahopoulos S, Critselis E, Voutsas IF, Perez SA, Moschovi M, Baxevanis CN, et al. New use for old drugs? Prospective targets of chloroquines in cancer therapy. Curr Drug Targets. (2014) 15:843–51. 10.2174/1389450115666140714121514 [DOI] [PubMed] [Google Scholar]
- 111.Wu J, Li J, Wang H. Mitochondrial-targeted penetrating peptide delivery for cancer therapy. Expert Opin Drug Deliv. (2018) 15:951–64. 10.1080/17425247.2018.1517750 [DOI] [PubMed] [Google Scholar]
- 112.Desantis V, Saltarella I, Lamanuzzi A, Mariggio MA, Racanelli V, Vacca A, et al. Autophagy: a new mechanism of prosurvival and drug resistance in multiple myeloma. Transl Oncol. (2018) 11:1350–7. 10.1016/j.tranon.2018.08.014 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 113.Rademacher BL, Meske LM, Matkowskyj KA, Hanlon BM, Carchman EH. Genetic inhibition of autophagy in a transgenic mouse model of anal cancer. J Carcinog. (2018) 17:3. 10.4103/jcar.JCar_4_18 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 114.Bishop E, Bradshaw TD. Autophagy modulation: a prudent approach in cancer treatment? Cancer Chemother Pharmacol. (2018) 82:913–22. 10.1007/s00280-018-3669-6 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 115.Leone K, Poggiana C, Zamarchi R. The interplay between circulating tumor cells and the immune system: from immune escape to cancer immunotherapy. Diagnostics. (2018) 8:E59. 10.3390/diagnostics8030059 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 116.Sica A, Massarotti M. Myeloid suppressor cells in cancer and autoimmunity. J Autoimmun. (2017) 85:117–25. 10.1016/j.jaut.2017.07.010 [DOI] [PubMed] [Google Scholar]
- 117.Watza D, Lusk CM, Dyson G, Purrington KS, Chen K, Wenzlaff AS, et al. Prognostic modeling of the immune-centric transcriptome reveals interleukin signaling candidates contributing to differential patient outcomes. Carcinogenesis. (2018) 39:1447–54. 10.1093/carcin/bgy119 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 118.Going CC, Tailor D, Kumar V, Birk AM, Pandrala M, Rice MA, et al. Quantitative proteomic profiling reveals key pathways in the anti-cancer action of methoxychalcone derivatives in triple negative breast cancer. J Proteome Res. (2018). 17:3574–85. 10.1021/acs.jproteome.8b00636 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 119.Ma W, Concha-Benavente F, Santegoets S, Welters MJP, Ehsan I, Ferris RL, et al. EGFR signaling suppresses type 1 cytokine-induced T-cell attracting chemokine secretion in head and neck cancer. PLoS ONE. (2018) 13:e0203402. 10.1371/journal.pone.0203402 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 120.Bhat MY, Solanki HS, Advani J, Khan AA, Keshava Prasad TS, Gowda H, et al. Comprehensive network map of interferon gamma signaling. J Cell Commun Signal. (2018) 12:745–51. 10.1007/s12079-018-0486-y [DOI] [PMC free article] [PubMed] [Google Scholar]
- 121.Budhwani M, Mazzieri R, Dolcetti R. Plasticity of type I interferon-mediated responses in cancer therapy: from anti-tumor immunity to resistance. Front Oncol. (2018) 8:322. 10.3389/fonc.2018.00322 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 122.Giuliani C, Bucci I, Napolitano G. The role of the transcription factor nuclear factor-kappa B in thyroid autoimmunity and cancer. Front Endocrinol. (2018) 9:471. 10.3389/fendo.2018.00471 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 123.Sui H, Ma N. Anti-PD-1/PD-L1 Therapy for non-small-cell lung cancer: toward personalized medicine and combination strategies. J Immunol Res. (2018) 2018:6984948. 10.1155/2018/6984948 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 124.Angajala A, Lim S, Phillips JB, Kim JH, Yates C, You Z, et al. Diverse roles of mitochondria in immune responses: novel insights into immuno-metabolism. Front Immunol. (2018) 9:1605. 10.3389/fimmu.2018.01605 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 125.Nakahira K, Haspel JA, Rathinam VA, Lee SJ, Dolinay T, Lam HC, et al. Autophagy proteins regulate innate immune responses by inhibiting the release of mitochondrial DNA mediated by the NALP3 inflammasome. Nat Immunol. (2011) 12:222–30. 10.1038/ni.1980 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 126.Agod Z, Fekete T, Budai MM, Varga A, Szabo A, Moon H, et al. Regulation of type I interferon responses by mitochondria-derived reactive oxygen species in plasmacytoid dendritic cells. Redox Biol. (2017) 13:633–45. 10.1016/j.redox.2017.07.016 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 127.Lawlor KE, Vince JE. Ambiguities in NLRP3 inflammasome regulation: is there a role for mitochondria? Biochim Biophys Acta. (2014) 1840:1433–40. 10.1016/j.bbagen.2013.08.014 [DOI] [PubMed] [Google Scholar]
- 128.Misawa T, Takahama M, Saitoh T. Mitochondria-endoplasmic reticulum contact sites mediate innate immune responses. Adv Exp Med Biol. (2017) 997:187–97. 10.1007/978-981-10-4567-7_14 [DOI] [PubMed] [Google Scholar]
- 129.Lu JQ, Adam B, Jack AS, Lam A, Broad RW, Chik CL. Immune cell infiltrates in pituitary adenomas: more macrophages in larger adenomas and more T cells in growth hormone adenomas. Endocr Pathol. (2015) 26:263–72. 10.1007/s12022-015-9383-6 [DOI] [PubMed] [Google Scholar]
- 130.Wang W, Xu Z, Fu L, Liu W, Li X. Pathogenesis analysis of pituitary adenoma based on gene expression profiling. Oncol Lett. (2014) 8:2423–30. 10.3892/ol.2014.2613 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 131.Chen Z, Li Z, Chang Y, Ma L, Xu W, Li M, et al. Relationship between NF-kappaB, MMP-9, and MICA expression in pituitary adenomas reveals a new mechanism of pituitary adenomas immune escape. Neurosci Lett. (2015) 597:77–83. 10.1016/j.neulet.2015.04.025 [DOI] [PubMed] [Google Scholar]
- 132.Maghathe T, Miller WK, Mugge L, Mansour TR, Schroeder J. Immunotherapy and potential molecular targets for the treatment of pituitary adenomas resistant to standard therapy: a critical review of potential therapeutic targets and current developments. J Neurosurg Sci. (2018). 10.23736/s0390-5616.18.04419-3. [Epub ahead of print]. [DOI] [PubMed] [Google Scholar]
- 133.Wang PF, Wang TJ, Yang YK, Yao K, Li Z, Li YM. The expression profile of PD-L1 and CD8(+) lymphocyte in pituitary adenomas indicating for immunotherapy. J Neurooncol. (2018) 139:89–95. 10.1007/s11060-018-2844-2 [DOI] [PubMed] [Google Scholar]
- 134.Tilokani L, Nagashima S, Paupe V, Prudent J. Mitochondrial dynamics: overview of molecular mechanisms. Essays Biochem. (2018) 62:341–60. 10.1042/ebc20170104 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 135.Cook SJ, Stuart K, Gilley R, Sale MJ. Control of cell death and mitochondrial fission by ERK1/2 MAP kinase signalling. FEBS J. (2017) 284:4177–95. 10.1111/febs.14122 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 136.Yu SB, Pekkurnaz G. Mechanisms orchestrating mitochondrial dynamics for energy homeostasis. J Mol Biol. (2018) 430:3922–41. 10.1016/j.jmb.2018.07.027 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 137.Rasmussen ML, Ortolano NA. Wnt signaling and its impact on mitochondrial and cell cycle dynamics in pluripotent stem cells. Genes. (2018) 9:E109. 10.3390/genes9020109 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 138.Jezek J, Cooper KF, Strich R. Reactive oxygen species and mitochondrial dynamics: the Yin and Yang of mitochondrial dysfunction and cancer progression. Antioxidants. (2018) 7:E13. 10.3390/antiox7010013 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 139.Simula L, Nazio F, Campello S. The mitochondrial dynamics in cancer and immune-surveillance. Semin Cancer Biol. (2017) 47:29–42. 10.1016/j.semcancer.2017.06.007 [DOI] [PubMed] [Google Scholar]
- 140.Bordi M, Nazio F, Campello S. The close interconnection between mitochondrial dynamics and mitophagy in cancer. Front Oncol. (2017) 7:81. 10.3389/fonc.2017.00081 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 141.van der Ende M, Grefte S, Plas R, Meijerink J, Witkamp R, Keijer J, et al. Mitochondrial dynamics in cancer-induced cachexia. Biochim Biophys Acta. (2018) 1870:137–50. 10.1016/j.bbcan.2018.07.008 [DOI] [PubMed] [Google Scholar]
- 142.Lopez-Lluch G, Hernandez-Camacho JD, Fernandez-Ayala DJM, Navas P. Mitochondrial dysfunction in metabolism and ageing: shared mechanisms and outcomes? Biogerontology. (2018) 19:461–80. 10.1007/s10522-018-9768-2 [DOI] [PubMed] [Google Scholar]
- 143.Kameoka S, Adachi Y, Okamoto K, Iijima M, Sesaki H. Phosphatidic acid and cardiolipin coordinate mitochondrial dynamics. Trends Cell Biol. (2018) 28:67–76. 10.1016/j.tcb.2017.08.011 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 144.Tang Q, Liu W, Zhang Q, Huang J, Hu C, Liu Y, et al. Dynamin-related protein 1-mediated mitochondrial fission contributes to IR-783-induced apoptosis in human breast cancer cells. J Cell Mol Med. (2018) 22:4474–85. 10.1111/jcmm.13749 [DOI] [PMC free article] [PubMed] [Google Scholar]
- 145.Yu Y, Xu L, Qi L, Wang C, Xu N, Liu S, et al. ABT737 induces mitochondrial pathway apoptosis and mitophagy by regulating DRP1-dependent mitochondrial fission in human ovarian cancer cells. Biomed Pharmacother. (2017) 96:22–9. 10.1016/j.biopha.2017.09.111 [DOI] [PubMed] [Google Scholar]